How can automation help you eliminate technical debt while reducing mean time to detect, diagnose, and fix issues?
Most organizations today are leveraging public cloud resources as part of their digital transformation journey. According to 451 Research, these organizations allocate, on average, 40.6% of their IT budget for IaaS, PaaS, or other public cloud costs—and 72.3% expect that their spending in these areas will increase over the next 12 months. These significant sums are increasingly under scrutiny as the complexity of managing cloud resources becomes widely known—and felt.
Maximizing business value in the cloud cannot be achieved without ensuring that applications—the heart of the modern business—continuously perform, and that they do so at the lowest cost. Navigating performance-cost tradeoffs is complex. With organizations admitting that 32% of their cloud spend is wasted it’s clear that the complexity is challenging all facets of IT, from cloud engineers to FinOps practitioners. So how can IT leaders leverage automation to simultaneously assure application performance and minimize cost?
Join IBM and a group of industry experts to discuss your challenges in this space, as well as best practices and practical solutions to get the most out of your cloud.
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership.
Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
How do you gather and harness the data available to provide full stack and enterprise observability?
Are you automating close resource allocation and management to optimize cost?
How are your using AI in IT operations and management solutions?
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